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Urgent! Senior Infrastructure Performance and Development Engineer Job Opening In Santa Clara – Now Hiring NVIDIA
Joining NVIDIA's AI Efficiency Team means contributing to the infrastructure that powers our leading-edge AI research.
This team focuses on optimizing efficiency and resiliency of ML workloads, as well as developing scalable AI infrastructure tools and services.
Our objective is to deliver a stable, scalable environment for NVIDIA's AI researchers, providing them with the necessary resources and scale to foster innovation.
We're transforming the way Deep Learning applications run on tens of thousands of GPUs. Join our team of experts and help us build a supercharged AI platform that maximizes efficiency, resilience, and Model FLOPs Utilization (MFU). In this position you will be collaborating with a diverse team that cuts across many areas of Deep Learning HW/SW stack in building a highly scalable, fault tolerant and optimized AI platform.
What you will be doing:
Build tools and frameworks that provide real time application performance metrics that can be correlated with system metrics
Develop automation frameworks that empower applications to thoughtfully predict and overcome system/infrastructure failures, ensuring fault tolerance.
Collaborate with software teams to pinpoint performance bottlenecks.
Design, prototype, and integrate solutions that deliver demonstrable performance gains in production environments.
Adapt and enhance communication libraries to seamlessly support innovative network topologies and system architectures.
Design or adapt optimized storage solutions to boost Deep Learning efficiency, resilience, and developer productivity.
What We Need to See:
BS/MS/PhD (or equivalent experience) in Computer Science, Electrical Engineering or a related field.
Proven experience in least one of the following area:
5+ years of experience in analyzing and improving performance of training applications using PyTorch or similar framework
5+ years of experience with building distributed software applications
5+ years of experience in building storage solutions for Deep Learning applications
10+ years of experience in building automated fault tolerant distributed applications
10+ years building tools for bottleneck analysis and automation of fault tolerance in distributed environments.
Strong background in parallel programming and distributed systems
Experience analyzing and optimizing large scale distributed applications.
Excellent verbal and written communication skills
Ways To Stand Out From The Crowd:
Deep understanding of HPC and distributed system architecture with emphasis on RDMA
Hands on working experience in more than one of the above areas especially with performance analysis and profiling of Deep Learning workloads.
Comfortable navigating and working with the PyTorch codebase.
Proven understanding of CUDA and GPU architecture
You will also be eligible for equity and .
NVIDIA accepts applications on an ongoing basis.
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Unlock Your Senior Infrastructure Potential: Insight & Career Growth Guide
Real-time Senior Infrastructure Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Infrastructure in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 190784 jobs in United States and 2251 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Infrastructure roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior Infrastructure Performance and Development Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Infrastructure Performance and Development Engineer Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Infrastructure Performance and Development Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Infrastructure Performance and Development Engineer interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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